International Conference on Probability in Physics and Engineering Applications
(ICPPEA-26)

24th October 2026 || Jaipur - India || Hybrid Mode

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Conference Session Tracks

The International Conference on Probability in Physics and Engineering Applications (ICPPEA), scheduled to be held on 24th October 2026 in Jaipur, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Probability Theory.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Foundations of Probability Theory
    This track will explore the fundamental principles of probability theory, including axiomatic foundations and key theorems. Discussions will focus on the implications of these principles in various scientific fields. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 02 – Stochastic Processes in Engineering
    This session will delve into the application of stochastic processes in engineering disciplines, emphasizing modeling and analysis techniques. Participants will share insights on how randomness influences system behavior and design. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 03 – Statistical Mechanics and Probability
    This track will investigate the intersection of statistical mechanics and probability theory, highlighting how probabilistic models can describe physical systems. Contributions will include theoretical advancements and practical applications. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 04 – Random Processes in Physics
    This session will focus on the role of random processes in physical systems, examining both classical and quantum contexts. Researchers will present case studies showcasing the impact of randomness on physical phenomena. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 13 – Climate Action
  • Track 05 – Stochastic Modeling Techniques
    This track will cover various stochastic modeling techniques used in applied mathematics and engineering. Emphasis will be placed on algorithmic approaches and computational methods for solving complex problems. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Applications of Probability in Simulation
    This session will highlight the use of probability theory in simulation techniques across different fields. Participants will discuss innovative methods for enhancing the accuracy and efficiency of simulations. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 07 – Algorithms in Computational Probability
    This track will explore algorithmic developments in computational probability, focusing on their applications in solving real-world problems. Contributions will include novel algorithms and their performance evaluations. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – Applied Mathematics in Probability
    This session will examine the role of applied mathematics in advancing probability theory and its applications. Discussions will include interdisciplinary approaches that bridge mathematical concepts with practical implementations. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 09 – Probability Theory in Engineering Applications
    This track will investigate the integration of probability theory into engineering applications, emphasizing risk assessment and reliability analysis. Participants will share case studies demonstrating effective probabilistic approaches. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 10 – Statistical Inference and Decision Making
    This session will focus on statistical inference methods grounded in probability theory, addressing their implications for decision-making processes. Contributions will explore both theoretical frameworks and practical applications. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Recent Advances in Probability Research
    This track will showcase recent advancements in probability research, highlighting innovative theories and methodologies. Participants will discuss emerging trends and future directions in the field. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 4 SDG 4
    Quality Education
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • SDG 12 SDG 12
    Responsible Consumption and Production
  • SDG 13 SDG 13
    Climate Action

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228